An Intro to Gradient Descent for Kotlin Programmers

2019-09-01

Introduction Gradient descent is an algorithm that’s used to solve supervised learning and deep learning problems. Here I’m going to try to give you an idea of why the algorithm works and how you’d implement it in Kotlin. I’ll also show the algorithm working with a simple kaggle dataset involving video game sales and ratings.
Everything I cover here is covered in Andrew Ng’s excellent Coursera machine learning course with the exception of the Kotlin implementation of gradient descent.…more